Co-occurring keywords · papers mentioning both
reinforcement learning
(4)
markov decision process
(2)
policy gradient
(2)
decentralized partially observable markov decision process
(1)
piecewise linear convex function
(1)
bellman optimality operator
(1)
process preference learning
(1)
pessimistic value estimation
(1)
sequential central planning
(1)
bellman principle of optimality
(1)
Papers
Deep Q-Learning on Hölder Spaces
COLT 2026
KETCHUP: K-Step Return Estimation for Sequential Knowledge Distillation
EACL 2026
Optimally Solving Simultaneous-Move Dec-POMDPs: The Sequential Central Planning Approach
AAAI 2025
SPPD: Self-training with Process Preference Learning Using Dynamic Value Margin
EMNLP 2025
Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation
AAAI 2022
An operator view of policy gradient methods
NeurIPS 2020
Provably Good Batch Off-Policy Reinforcement Learning Without Great Exploration
NeurIPS 2020
A Unified Bellman Optimality Principle Combining Reward Maximization and Empowerment
NeurIPS 2019
On the Correctness and Sample Complexity of Inverse Reinforcement Learning
NeurIPS 2019